{"id":"W4238435569","doi":"10.5539/gjhs.v11n10p168","title":"Reviewer Acknowledgements for Global Journal of Health Science, Vol. 11, No. 10","year":2019,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health science; Library science; Psychology; Medicine; Medical education; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1090635,0.0002840461,0.001403864,0.0007102015,0.001219274,0.001992534,0.01156741,0.0001040602,0.0004374281],"category_scores_gemma":[0.1046309,0.000183211,0.0003655558,0.008016431,0.00135842,0.008357269,0.0008102718,0.0005210981,0.0004862453],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002327076,"about_ca_system_score_gemma":0.02364232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003946833,"about_ca_topic_score_gemma":0.00001355597,"domain_scores_codex":[0.9835351,0.0003159592,0.004801537,0.0007535424,0.009031553,0.001562312],"domain_scores_gemma":[0.8954823,0.0003090136,0.009934245,0.0008647945,0.09174281,0.001666835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005940215,0.000104894,0.1698669,0.00005645406,0.000007555478,0.000001647245,0.00005155508,0.00007417055,0.00000808646,0.0005326347,0.720514,0.1087227],"study_design_scores_gemma":[0.002311585,0.001895461,0.172232,0.001221578,0.00001779983,0.0003804705,0.0008814053,0.0007780638,0.0000390376,0.01488232,0.8049952,0.0003651266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707161,0.02847666,0.0211547,0.01927675,0.2429198,0.002735634,0.0001711765,0.00004046917,0.01450868],"genre_scores_gemma":[0.9509708,0.001641207,0.02582748,0.01212787,0.005651495,0.000005211079,0.000001673972,0.0000244101,0.003749822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2802547,"threshold_uncertainty_score":0.9990435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09118602257274903,"score_gpt":0.4761171700492459,"score_spread":0.3849311474764969,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}